Proximity-Based Mobile EHR Updates to Limit Information Overload
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Solution Overview
Problem
Clinicians and patients face challenges in keeping up with rapid growth of health information, leading to gaps between best practices and decisions, resulting in delays, decreased quality of care, increased medical errors, and higher healthcare costs.
Innovation Solution
A system utilizing Bluetooth Low Energy (BLE) beacons to provide proximity-based updates of electronic health records to authorized users, ensuring timely and relevant information delivery to clinicians and caregivers via mobile devices, with context-aware provisioning and decision-support capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If comprehensive electronic health records are provided to clinicians, then complete patient information is available, but the rate of new information arrival becomes too rapid for clinicians to keep up with
Solution Approach 1:
The system segments the comprehensive electronic health record into multiple categories (e.g., demographics, medical history, current medications, lab results). It then selectively pushes only the relevant segments to the clinician's mobile device based on the clinical situation, allowing complete information availability while preventing information overload by delivering only necessary portions at any given time.
Solution Approach 2:
The system applies local quality by tailoring the information delivery to the specific clinical context and patient characteristics. Different clinicians receive different information subsets based on their expertise, workload, and the specific patient's needs, optimizing the balance between information completeness and clinician processing capacity.
2Productivity
If clinicians have heavy patient loads, then productivity is maintained, but attention is fragmented and quick decisions are made without adequate context
Solution Approach 1:
The system performs preliminary action by proactively pushing relevant patient information to the clinician's mobile device before the clinician needs to make a decision. This allows the information to be ready in advance, enabling clinicians to make more informed decisions quickly without fragmenting their attention across multiple sources during the decision-making process.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor clinician interactions with the information and adjust future information delivery accordingly. This feedback loop ensures that the most critical information is delivered at the most appropriate times, maintaining high productivity while improving decision quality through targeted information support.
3Adaptability or versatility
If patients are provided with comprehensive health information, then they can make informed decisions, but they are pulled in many different directions by vast number of daily concerns
Solution Approach 1:
The system segments comprehensive health information into priority-based categories and pushes only the most relevant segments to the patient's mobile device. This maintains patient adaptability by providing sufficient information for informed decisions while reducing the overwhelming effect of vast daily concerns by delivering only the most actionable information at a time.
Solution Approach 2:
The system applies partial action by providing patients with a curated subset of the most critical health information rather than the complete comprehensive record. This approach ensures patients have enough information to make informed decisions about their health while avoiding the paralysis that can result from being pulled in too many directions by excessive information.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances clinical decision-making by providing concise, context-associated health information, reducing cognitive gaps, and promoting better, more timely healthcare decisions.
Implementation Method 1
associating with the set of information items a reference pointer, which identifies the set of information items and in some embodiments encodes the reference pointer in a wireless-communications (such as Bluetooth Low Energy or BLE, or Bluetooth 4.0) beacon
Data Source
AI summary
A system, method, and computer-readable media are provided for facilitating clinical decision making, and in particular, decision making based on a third party's clinical situation by determining and providing useful, up-to-date information, such as patient-related information to a decision maker. In one embodiment, a user first identifies an information item concerning a patient. Based on that item, a set of related information items is determined and prioritized, and a reference pointer, which identifies the set of related information, is generated. The reference pointer is communicated to the user's mobile device. Subsequently, the user's mobile device requests information from the set of information items associated with the reference pointer, and provides information authorization information. Following authentication of the user's credentials, updates of information from the set of information items may be communicated to the user's mobile device as they become available.